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A Long Short Term Memory (LSTM) is a neural network architecture that contains recurrent NN blocks that can remember a value for an arbitrary length of time.
12
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answer
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Time series prediction using ARIMA vs LSTM
ARIMA requires a series of parameters (p,q,d) which must be calculated based on data, while LSTM does not require setting such parameters. … However, there are some hyperparameters we need to tune for LSTM. …
4
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2
answers
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Using RNN (LSTM) for predicting one feature value of a time series
I have been reading several papers, articles and blog posts about RNNs (LSTM specifically) and how we can use them to do time series prediction. … So using different LSTM packages (deeplearning4j, keras, ...) that are out there, here is what I am doing right now:
Create a LSTM network and fit it to t samples. …
6
votes
1
answer
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Online learning in LSTM
Recently, I have been working on RNNs (LSTM specifically) to do time series prediction and I have used different frameworks such as deeplearning4j and theano (keras). …